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Bone-Market-Solver
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Add fossilised fish fascination for Diplomat 

This fascination effectively requires a Fish declaration, and scales
with all three skeleton attributes multiplied together.
This commit is contained in:
Jeremy Saklad 2021-06-29 15:56:42 -05:00
parent dd01457cc4
commit a2e8fe8b62
Signed by: Jeremy Saklad
GPG Key ID: 9CA2149583EDBF84
1 changed files with 39 additions and 0 deletions
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39
Bone Market Solver.py
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@ -1164,6 +1164,11 @@ class Buyer(Enum):
cost = Cost.ACTION.value cost = Cost.ACTION.value
) )
THE_TRIFLING_DIPLOMAT_FOSSIL_FISH = Action(
"Sell the Diplomat a fossil fish",
cost = Cost.ACTION.value
)
def __str__(self): def __str__(self):
return str(self.value) return str(self.value)
@ -1194,6 +1199,8 @@ class DiplomatFascination(Enum):
ANTIQUITY = Buyer.THE_TRIFLING_DIPLOMAT_ANTIQUE ANTIQUITY = Buyer.THE_TRIFLING_DIPLOMAT_ANTIQUE
FOSSILISED_FISH = Buyer.THE_TRIFLING_DIPLOMAT_FOSSIL_FISH
def Solve(shadowy_level, bone_market_fluctuations, zoological_mania, occasional_buyer = None, diplomat_fascination = None, desired_buyers = [], maximum_cost = cp_model.INT32_MAX, maximum_exhaustion = cp_model.INT32_MAX, time_limit = float('inf'), workers = cpu_count(), stdscr = None): def Solve(shadowy_level, bone_market_fluctuations, zoological_mania, occasional_buyer = None, diplomat_fascination = None, desired_buyers = [], maximum_cost = cp_model.INT32_MAX, maximum_exhaustion = cp_model.INT32_MAX, time_limit = float('inf'), workers = cpu_count(), stdscr = None):
model = cp_model.CpModel() model = cp_model.CpModel()
@ -2142,6 +2149,38 @@ def Solve(shadowy_level, bone_market_fluctuations, zoological_mania, occasional_
del antiquity_squared, value_remainder, derived_exhaustion del antiquity_squared, value_remainder, derived_exhaustion
# The Trifling Diplomat - Fossilised Fish
model.AddLinearExpressionInDomain(skeleton_in_progress, cp_model.Domain.FromFlatIntervals([190, 199])).OnlyEnforceIf(actions[Buyer.THE_TRIFLING_DIPLOMAT_FOSSIL_FISH])
non_negative_amalgamy = model.NewIntVar(cp_model.INT32_MIN, cp_model.INT32_MAX, '{}: {}'.format(Buyer.THE_TRIFLING_DIPLOMAT_FOSSIL_FISH.name, 'non-negative amalgamy'))
model.AddMaxEquality(non_negative_amalgamy, [amalgamy, 0])
non_negative_menace = model.NewIntVar(cp_model.INT32_MIN, cp_model.INT32_MAX, '{}: {}'.format(Buyer.THE_TRIFLING_DIPLOMAT_FOSSIL_FISH.name, 'non-negative menace'))
model.AddMaxEquality(non_negative_menace, [menace, 0])
non_negative_antiquity = model.NewIntVar(cp_model.INT32_MIN, cp_model.INT32_MAX, '{}: {}'.format(Buyer.THE_TRIFLING_DIPLOMAT_FOSSIL_FISH.name, 'non-negative antiquity'))
model.AddMaxEquality(non_negative_antiquity, [antiquity, 0])
compromising_documents = model.NewIntVar(0, cp_model.INT32_MAX, '{}: {}'.format(Buyer.THE_TRIFLING_DIPLOMAT_FOSSIL_FISH.name, ''))
model.AddGeneralMultiplicationEquality(compromising_documents, non_negative_amalgamy, non_negative_menace, non_negative_antiquity)
value_remainder = model.NewIntVar(0, 49, '{}: {}'.format(Buyer.THE_TRIFLING_DIPLOMAT_FOSSIL_FISH.name, 'value remainder'))
model.AddModuloEquality(value_remainder, value, 50)
model.Add(primary_revenue == value - value_remainder + 50).OnlyEnforceIf(actions[Buyer.THE_TRIFLING_DIPLOMAT_FOSSIL_FISH])
model.Add(secondary_revenue == 50*compromising_documents).OnlyEnforceIf(actions[Buyer.THE_TRIFLING_DIPLOMAT_FOSSIL_FISH])
# TODO: Add actual difficulty level
model.Add(difficulty_level == 0).OnlyEnforceIf(actions[Buyer.THE_TRIFLING_DIPLOMAT_FOSSIL_FISH])
# The indirection is necessary for applying an enforcement literal
derived_exhaustion = model.NewIntVar(cp_model.INT32_MIN, cp_model.INT32_MAX, '{}: {}'.format(Buyer.THE_TRIFLING_DIPLOMAT_FOSSIL_FISH.name, 'derived exhaustion'))
model.AddDivisionEquality(derived_exhaustion, compromising_documents, 100)
model.Add(added_exhaustion == derived_exhaustion).OnlyEnforceIf(actions[Buyer.THE_TRIFLING_DIPLOMAT_FOSSIL_FISH])
del non_negative_amalgamy, non_negative_menace, non_negative_antiquity, compromising_documents, value_remainder, derived_exhaustion
# Maximize profit margin # Maximize profit margin
net_profit = model.NewIntVar(cp_model.INT32_MIN, cp_model.INT32_MAX, 'net profit') net_profit = model.NewIntVar(cp_model.INT32_MIN, cp_model.INT32_MAX, 'net profit')
model.Add(net_profit == total_revenue - cost) model.Add(net_profit == total_revenue - cost)